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A framework for ecosystem service assessment using GIS interoperability standards / Martin Lacayo in Computers & geosciences, vol 154 (September 2021)  

Public [article]  inComputers & geosciences > vol 154 (September 2021) . - n° 104821 Titre : A framework for ecosystem service assessment using GIS interoperability standards Type de document : Article/Communication Auteurs : Martin Lacayo, Auteur ; Denisa Rodila, Auteur ; Gregory Giuliani, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 104821 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données localisées [Termes IGN] INSPIRE [Termes IGN] interopérabilité [Termes IGN] service écosystémique [Termes IGN] service web géographique [Termes IGN] standard OGC [Termes IGN] système d'information géographique Résumé : (auteur) Ecosystem Services Web Services (ESWS) are new web-based approaches to quantifying the benefits that humans derive from nature. Specifically, ESWS are the application of open web standards to ecosystem service assessment to facilitate creation, iteration, and dissemination in a seamless way. This integration streamlines collaboration, automation, and curation, while providing an open interface through which novel advances can be incorporated. The approach creates a new level of interoperability through data provenance whereby each transition between processing steps employs standards that ensure cohesive workflows across models and platforms. This imparts a modularity that can be examined and extended at every step. Numéro de notice : A2021-681 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.cageo.2021.104821 Date de publication en ligne : 12/05/2021 En ligne : https://doi.org/10.1016/j.cageo.2021.104821 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98405 [article]

Exploring the efficiency of users' visual analytics strategies based on sequence analysis of eye movement recordings / Arzu Çöltekin in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1559 - 1575 Titre : Exploring the efficiency of users' visual analytics strategies based on sequence analysis of eye movement recordings Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Sara Irina Fabrikant, Auteur ; Martin Lacayo, Auteur Année de publication : 2010 Article en page(s) : pp 1559 - 1575 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] interactivité [Termes IGN] optique physiologique [Termes IGN] utilisateur [Termes IGN] visualisation dynamique Résumé : (Auteur) Visual analytics is often based on the intuition that highly interactive and dynamic depictions of complex and multivariate databases amplify human capabilities for inference and decision-making, as they facilitate cognitive tasks such as pattern recognition, association, and analytical reasoning (Thomas and Cook 2005). But how do we know whether visual analytics really works? This article offers a generic evaluation approach combining theory- and data-driven methods based on sequence similarity analysis. The approach systematically studies users' visual interaction strategies when using highly interactive interfaces. We specifically ask whether the efficiency (i.e., speed) of users can be characterized by specific display interaction event sequences, and whether studying user strategies could be employed to improve the (interaction) design of the dynamic displays. We showcase our approach using a very large, fine-grained spatiotemporal dataset of eye movement recordings collected during a controlled human subject experiment with dynamic visual analytics displays. With this methodological approach based on empirical evidence, we hope to contribute to a deeper understanding of how people make inferences and decisions with highly interactive visualization tools and complex displays. Numéro de notice : A2010-467 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.511718 En ligne : https://doi.org/10.1080/13658816.2010.511718 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30660 [article]

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